Marie Chavent

36 papers and 1.0k indexed citations i.

About

Marie Chavent is a scholar working on Artificial Intelligence, Food Science and Animal Science and Zoology. According to data from OpenAlex, Marie Chavent has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Food Science and 6 papers in Animal Science and Zoology. Recurrent topics in Marie Chavent’s work include Advanced Clustering Algorithms Research (7 papers), Meat and Animal Product Quality (6 papers) and Sensory Analysis and Statistical Methods (6 papers). Marie Chavent is often cited by papers focused on Advanced Clustering Algorithms Research (7 papers), Meat and Animal Product Quality (6 papers) and Sensory Analysis and Statistical Methods (6 papers). Marie Chavent collaborates with scholars based in France, United Kingdom and China. Marie Chavent's co-authors include Jérôme Saracco, Yves Lechevallier, Benoît Liquet, Vanessa Kuentz-Simonet, Francisco de A.T. de Carvalho, Renata M.C.R. de Souza, Yuan Ding, Hervé Stolowy, Huiwen Wang and Alain Badoc and has published in prestigious journals such as Scientific Reports, Phytochemistry and Meat Science.

In The Last Decade

Co-authorship network of co-authors of Marie Chavent i

Fields of papers citing papers by Marie Chavent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie Chavent. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marie Chavent. The network helps show where Marie Chavent may publish in the future.

Countries citing papers authored by Marie Chavent

Since Specialization
Citations

This map shows the geographic impact of Marie Chavent's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marie Chavent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Chavent more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025